Zebang Pan
Papers
2
Total Citations
17
H-Index
2
About
Zebang Pan is a robotics researcher whose work bridges reinforcement learning, bio-inspired control, and swarm intelligence. His primary research areas include bipedal locomotion, energy-efficient robotic gait design, and self-assembly swarm robotics. Pan’s most cited paper, “Reinforcement learning control for a three-link biped robot with energy-efficient periodic gaits” (2023, 12 citations), introduces a novel RL-based framework that enables biped robots to achieve stable, low-energy walking patterns—a critical step toward practical humanoid robotics. In his more recent work, “Crystallization-Inspired Design and Modeling of Self-Assembly Lattice-Formation Swarm Robotics” (2024, 5 citations), Pan tackles the formidable challenge of coordinating large robot swarms to autonomously form structured lattices. By drawing inspiration from crystallization processes, he proposes both a decentralized control strategy and a macroscopic model for predicting swarm behavior, addressing an open problem in the field. His contributions offer promising pathways for scalable, self-organizing robotic systems, with potential applications in construction, exploration, and adaptive manufacturing.
Research Focus
Key Achievements
Top Papers
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